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A multi-object deep neural network architecture to detect prostate anatomy in T2-weighted MRI: Performance evaluation

Prostate gland segmentation is the primary step to estimate gland volume, which aids in the prostate disease management. In this study, we present a 2D-3D convolutional neural network (CNN) ensemble that automatically segments the whole prostate gland along with the peripheral zone (PZ) (PPZ-SegNet)...

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Principais autores: Maria Baldeon-Calisto, Zhouping Wei, Shatha Abudalou, Yasin Yilmaz, Kenneth Gage, Julio Pow-Sang, Yoganand Balagurunathan
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2023-02-01
Serier:Frontiers in Nuclear Medicine
Fag:
prostate cancer
prostate segmentation
machine learning
deep learning
neural network
neural architecture search
Online adgang:https://www.frontiersin.org/articles/10.3389/fnume.2022.1083245/full
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